IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v167y2021ics0040162521001219.html
   My bibliography  Save this article

Semantic bridging of patents and scientific publications – The case of an emerging sustainability-oriented technology

Author

Listed:
  • Block, Carolin
  • Wustmans, Michael
  • Laibach, Natalie
  • Bröring, Stefanie

Abstract

The detection of emerging technologies in highly dynamic environments such as the evolving area of sustainability-oriented technologies is pivotal for firms, academia and policy alike in order to evaluate business opportunities and to set strategic priorities. Secondary data sources, such as patents and publications, are valuable data to gain a comprehensive overview of emerging technologies. However, the bridging of both data sources with respect to a particular technology cluster is often challenging as for instance time lags between cross-citations complicate the evaluation of connectivity. Applied to the highly dynamic case of phosphorous recovery as an emerging sustainability-oriented technology field, this study proposes a semantic similarity analysis approach of patent and publication documents. Mapping the timely development of emerging sub-technologies in the domain of phosphorous recovery and the new developed indicator, the number of semantically similar publications per patent belonging to a specific sub-technology, contribute to the identification and evaluation of emerging technologies in the highly dynamic context of sustainability transitions.

Suggested Citation

  • Block, Carolin & Wustmans, Michael & Laibach, Natalie & Bröring, Stefanie, 2021. "Semantic bridging of patents and scientific publications – The case of an emerging sustainability-oriented technology," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    • Handle: RePEc:eee:tefoso:v:167:y:2021:i:c:s0040162521001219
    DOI: 10.1016/j.techfore.2021.120689
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162521001219
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2021.120689?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xinhai Liu & Shi Yu & Frizo Janssens & Wolfgang Glänzel & Yves Moreau & Bart De Moor, 2010. "Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(6), pages 1105-1119, June.
    2. Xuefeng Wang & Huichao Ren & Yun Chen & Yuqin Liu & Yali Qiao & Ying Huang, 2019. "Measuring patent similarity with SAO semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 1-23, October.
    3. Walter R. Stahel, 2016. "The circular economy," Nature, Nature, vol. 531(7595), pages 435-438, March.
    4. Marisela Rodríguez-Salvador & Rosa María Rio-Belver & Gaizka Garechana-Anacabe, 2017. "Scientometric and patentometric analyses to determine the knowledge landscape in innovative technologies: The case of 3D bioprinting," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-22, June.
    5. Seokbeom Kwon & Alan Porter & Jan Youtie, 2016. "Navigating the innovation trajectories of technology by combining specialization score analyses for publications and patents: graphene and nano-enabled drug delivery," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1057-1071, March.
    6. Arnold Verbeek & Koenraad Debackere & Marc Luwel & Petra Andries & Edwin Zimmermann & Filip Deleus, 2002. "Linking science to technology: Using bibliographic references in patents to build linkage schemes," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(3), pages 399-420, July.
    7. Bohnsack, René & Pinkse, Jonatan & Kolk, Ans, 2014. "Business models for sustainable technologies: Exploring business model evolution in the case of electric vehicles," Research Policy, Elsevier, vol. 43(2), pages 284-300.
    8. Rennings, Klaus, 2000. "Redefining innovation -- eco-innovation research and the contribution from ecological economics," Ecological Economics, Elsevier, vol. 32(2), pages 319-332, February.
    9. Daniele Rotolo & Ismael Rafols & Michael M. Hopkins & Loet Leydesdorff, 2017. "Strategic intelligence on emerging technologies: Scientometric overlay mapping," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(1), pages 214-233, January.
    10. Ogawa, Takaya & Kajikawa, Yuya, 2015. "Assessing the industrial opportunity of academic research with patent relatedness: A case study on polymer electrolyte fuel cells," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 469-475.
    11. Alfonso Ávila-Robinson & Shintaro Sengoku, 2017. "Tracing the knowledge-building dynamics in new stem cell technologies through techno-scientific networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1691-1720, September.
    12. Louise Staffas & Mathias Gustavsson & Kes McCormick, 2013. "Strategies and Policies for the Bioeconomy and Bio-Based Economy: An Analysis of Official National Approaches," Sustainability, MDPI, vol. 5(6), pages 1-19, June.
    13. Daniel Hausknost & Ernst Schriefl & Christian Lauk & Gerald Kalt, 2017. "A Transition to Which Bioeconomy? An Exploration of Diverging Techno-Political Choices," Sustainability, MDPI, vol. 9(4), pages 1-22, April.
    14. Geels, Frank W. & Schot, Johan, 2007. "Typology of sociotechnical transition pathways," Research Policy, Elsevier, vol. 36(3), pages 399-417, April.
    15. Sam Arts & Bruno Cassiman & Juan Carlos Gomez, 2018. "Text matching to measure patent similarity," Strategic Management Journal, Wiley Blackwell, vol. 39(1), pages 62-84, January.
    16. Kes McCormick & Niina Kautto, 2013. "The Bioeconomy in Europe: An Overview," Sustainability, MDPI, vol. 5(6), pages 1-20, June.
    17. Jing Ma & Alan L. Porter, 2015. "Analyzing patent topical information to identify technology pathways and potential opportunities," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 811-827, January.
    18. Berg, S. & Wustmans, M. & Bröring, S., 2019. "Identifying first signals of emerging dominance in a technological innovation system: A novel approach based on patents," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 706-722.
    19. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    20. Narin, Francis & Hamilton, Kimberly S. & Olivastro, Dominic, 1997. "The increasing linkage between U.S. technology and public science," Research Policy, Elsevier, vol. 26(3), pages 317-330, October.
    21. Escobar, Neus & Laibach, Natalie, 2021. "Sustainability check for bio-based technologies: A review of process-based and life cycle approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    22. Ad van den Oord & Arjen van Witteloostuijn, 2018. "A multi-level model of emerging technology: An empirical study of the evolution of biotechnology from 1976 to 2003," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-27, May.
    23. Zhou, Xiao & Huang, Lu & Porter, Alan & Vicente-Gomila, Jose M., 2019. "Tracing the system transformations and innovation pathways of an emerging technology: Solid lipid nanoparticles," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 785-794.
    24. Ki Hong Kim & Young Jae Han & Sugil Lee & Sung Won Cho & Chulung Lee, 2019. "Text Mining for Patent Analysis to Forecast Emerging Technologies in Wireless Power Transfer," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
    25. Rohrbeck, Rene & Arnold, Heinrich M. & Heuer, Jörg, 2007. "Strategic Foresight in multinational enterprises – a case study on the Deutsche Telekom Laboratories," MPRA Paper 5700, University Library of Munich, Germany.
    26. Kuhlmann, Stefan & Boekholt, Patries & Georghiou, Luke & Guy, Ken & Heraud, Jean-Alain & Laredo, Philippe & Lemola, Tarmo & Loveridge, Denis & Luukkonen, Terttu & Moniz, António & Polt, Wolfgang & Rip, 1999. "Improving Distributed Intelligence in Complex Innovation Systems," MPRA Paper 6426, University Library of Munich, Germany, revised May 1999.
    27. Kerstin Cuhls, 2003. "From forecasting to foresight processes-new participative foresight activities in Germany," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(2-3), pages 93-111.
    28. Fernando F. Suárez & James M. Utterback, 1995. "Dominant designs and the survival of firms," Strategic Management Journal, Wiley Blackwell, vol. 16(6), pages 415-430.
    29. Yi Zhang & Yue Qian & Ying Huang & Ying Guo & Guangquan Zhang & Jie Lu, 2017. "An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1925-1946, June.
    30. Kwon, Seokbeom & Liu, Xiaoyu & Porter, Alan L. & Youtie, Jan, 2019. "Research addressing emerging technological ideas has greater scientific impact," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    31. Iñaki Bildosola & Pilar Gonzalez & Paz Moral, 2017. "An approach for modelling and forecasting research activity related to an emerging technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 557-572, July.
    32. Daniel S Hain & Roman Jurowetzki & Primoz Konda & Lars Oehler, 2020. "From catching up to industrial leadership: towards an integrated market-technology perspective. An application of semantic patent-to-patent similarity in the wind and EV sector," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(5), pages 1233-1255.
    33. Niemann, Helen & Moehrle, Martin G. & Frischkorn, Jonas, 2017. "Use of a new patent text-mining and visualization method for identifying patenting patterns over time: Concept, method and test application," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 210-220.
    34. Engelsman, E. C. & van Raan, A. F. J., 1994. "A patent-based cartography of technology," Research Policy, Elsevier, vol. 23(1), pages 1-26, January.
    35. Bart Van Looy & Koenraad Debackere & Julie Callaert & Robert Tijssen & Thed van Leeuwen, 2006. "Scientific capabilities and technological performance of national innovation systems: An exploration of emerging industrial relevant research domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 295-310, February.
    36. Alkemade, Floortje & Suurs, Roald A.A., 2012. "Patterns of expectations for emerging sustainable technologies," Technological Forecasting and Social Change, Elsevier, vol. 79(3), pages 448-456.
    37. Haupt, Reinhard & Kloyer, Martin & Lange, Marcus, 2007. "Patent indicators for the technology life cycle development," Research Policy, Elsevier, vol. 36(3), pages 387-398, April.
    38. Xinhai Liu & Shi Yu & Frizo Janssens & Wolfgang Glänzel & Yves Moreau & Bart De Moor, 2010. "Weighted hybrid clustering by combining text mining and bibliometrics on a large‐scale journal database," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(6), pages 1105-1119, June.
    39. Yi Zhang & Xiao Zhou & Alan L. Porter & Jose M. Vicente Gomila, 2014. "How to combine term clumping and technology roadmapping for newly emerging science & technology competitive intelligence: “problem & solution” pattern based semantic TRIZ tool and case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1375-1389, November.
    40. Ho, Jonathan C. & Saw, Ewe-Chai & Lu, Louis Y.Y. & Liu, John S., 2014. "Technological barriers and research trends in fuel cell technologies: A citation network analysis," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 66-79.
    41. Wiener, Melanie & Gattringer, Regina & Strehl, Franz, 2020. "Collaborative open foresight - A new approach for inspiring discontinuous and sustainability-oriented innovations," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    42. Morteza Akbari & Maryam Khodayari & Mozhgan Danesh & Ali Davari & Hamid Padash, 2020. "A bibliometric study of sustainable technology research," Cogent Business & Management, Taylor & Francis Journals, vol. 7(1), pages 1751906-175, January.
    43. Wang, Ming-Yeu & Fang, Shih-Chieh & Chang, Yu-Hsuan, 2015. "Exploring technological opportunities by mining the gaps between science and technology: Microalgal biofuels," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 182-195.
    44. Martin G. Moehrle, 2010. "Measures for textual patent similarities: a guided way to select appropriate approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 95-109, October.
    45. Parraguez, Pedro & Škec, Stanko & e Carmo, Duarte Oliveira & Maier, Anja, 2020. "Quantifying technological change as a combinatorial process," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    46. Ernst, Holger, 2003. "Patent information for strategic technology management," World Patent Information, Elsevier, vol. 25(3), pages 233-242, September.
    47. J. J. Winnink & Robert J. W. Tijssen, 2015. "Early stage identification of breakthroughs at the interface of science and technology: lessons drawn from a landmark publication," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 113-134, January.
    48. R. J. W. Tussen & R. K. Buter & Th. N. van Leeuwen, 2000. "Technological Relevance of Science: An Assessment of Citation Linkages between Patents and Research Papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 389-412, February.
    49. Erik G. Hansen & Angelika C. Bullinger & Ralf Reichwald, 2011. "Sustainability innovation contests: evaluating contributions with an eco impact-innovativeness typology," International Journal of Innovation and Sustainable Development, Inderscience Enterprises Ltd, vol. 5(2/3), pages 221-245.
    50. Song, Kisik & Kim, Karp Soo & Lee, Sungjoo, 2017. "Discovering new technology opportunities based on patents: Text-mining and F-term analysis," Technovation, Elsevier, vol. 60, pages 1-14.
    51. Horbach, Jens, 2008. "Determinants of environmental innovation--New evidence from German panel data sources," Research Policy, Elsevier, vol. 37(1), pages 163-173, February.
    52. Park, Yongtae & Yoon, Byungun & Lee, Sungjoo, 2005. "The idiosyncrasy and dynamism of technological innovation across industries: patent citation analysis," Technology in Society, Elsevier, vol. 27(4), pages 471-485.
    53. Leydesdroff, Loet, 1989. "Words and co-words as indicators of intellectual organization," Research Policy, Elsevier, vol. 18(4), pages 209-223, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gnekpe, Christian & Plantec, Quentin, 2023. "Regulatory push-pull and technological knowledge dynamics of circular economy innovation," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    2. Jang, Hyejin & Lee, Suyeong & Yoon, Byungun, 2023. "Data-driven techno-socio co-evolution analysis based on a topic model and a hidden Markov model," Technovation, Elsevier, vol. 126(C).
    3. Richarz, Jan & Wegewitz, Stephan & Henn, Sarah & Müller, Dirk, 2023. "Graph-based research field analysis by the use of natural language processing: An overview of German energy research," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    4. Waßenhoven, Anna & Rennings, Michael & Laibach, Natalie & Bröring, Stefanie, 2023. "What constitutes a “Key Enabling Technology” for transition processes: Insights from the bioeconomy's technological landscape," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    5. Shin, Hyunjin & Woo, Hyun Goo & Sohn, Kyung-Ah & Lee, Sungjoo, 2023. "Comparing research trends with patenting activities in the biomedical sector: The case of dementia," Technological Forecasting and Social Change, Elsevier, vol. 195(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ki Hong Kim & Young Jae Han & Sugil Lee & Sung Won Cho & Chulung Lee, 2019. "Text Mining for Patent Analysis to Forecast Emerging Technologies in Wireless Power Transfer," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
    2. Michael Rennings & Philipp Baaden & Carolin Block & Marcus John & Stefanie Bröring, 2024. "Assessing emerging sustainability-oriented technologies: the case of precision agriculture," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 2969-2998, June.
    3. Pantano, Eleonora & Priporas, Constantinos-Vasilios & Stylos, Nikolaos, 2018. "Knowledge Push Curve (KPC) in retailing: Evidence from patented innovations analysis affecting retailers' competitiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 150-160.
    4. Waßenhoven, Anna & Rennings, Michael & Laibach, Natalie & Bröring, Stefanie, 2023. "What constitutes a “Key Enabling Technology” for transition processes: Insights from the bioeconomy's technological landscape," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    5. Laura Carraresi & Stefanie Bröring, 2021. "How does business model redesign foster resilience in emerging circular value chains?," Post-Print hal-03267359, HAL.
    6. Jan M. Gerken & Martin G. Moehrle, 2012. "A new instrument for technology monitoring: novelty in patents measured by semantic patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 645-670, June.
    7. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    8. Ben Zhang & Lei Ma & Zheng Liu, 2020. "Literature Trend Identification of Sustainable Technology Innovation: A Bibliometric Study Based on Co-Citation and Main Path Analysis," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    9. Yuan Zhou & Fang Dong & Yufei Liu & Liang Ran, 2021. "A deep learning framework to early identify emerging technologies in large-scale outlier patents: an empirical study of CNC machine tool," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 969-994, February.
    10. Hain, Daniel S. & Jurowetzki, Roman & Buchmann, Tobias & Wolf, Patrick, 2022. "A text-embedding-based approach to measuring patent-to-patent technological similarity," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    11. Chung, Park & Sohn, So Young, 2020. "Early detection of valuable patents using a deep learning model: Case of semiconductor industry," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    12. Shen, Yung-Chi & Wang, Ming-Yeu & Yang, Ya-Chu, 2020. "Discovering the potential opportunities of scientific advancement and technological innovation: A case study of smart health monitoring technology," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    13. Mun, Changbae & Yoon, Sejun & Raghavan, Nagarajan & Hwang, Dongwook & Basnet, Subarna & Park, Hyunseok, 2021. "Function score-based technological trend analysis," Technovation, Elsevier, vol. 101(C).
    14. Jumi Hwang & Kyung Hee Kim & Jong Gyu Hwang & Sungchan Jun & Jiwon Yu & Chulung Lee, 2020. "Technological Opportunity Analysis: Assistive Technology for Blind and Visually Impaired People," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    15. Zi-Lin He & Min Deng, 2007. "The evidence of systematic noise in non-patent references: A study of New Zealand companies’ patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 149-166, July.
    16. Durán-Romero, Gemma & López, Ana M. & Beliaeva, Tatiana & Ferasso, Marcos & Garonne, Christophe & Jones, Paul, 2020. "Bridging the gap between circular economy and climate change mitigation policies through eco-innovations and Quintuple Helix Model," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    17. Burmaoglu, Serhat & Sartenaer, Olivier & Porter, Alan, 2019. "Conceptual definition of technology emergence: A long journey from philosophy of science to science policy," Technology in Society, Elsevier, vol. 59(C).
    18. Kyuwoong Kim & Kyeongmin Park & Sungjoo Lee, 2019. "Investigating technology opportunities: the use of SAOx analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 45-70, January.
    19. Leonardo Costa Ribeiro & Glenda Kruss & Gustavo Britto & Américo Tristão Bernardes & Eduardo Motta e Albuquerque, 2014. "A methodology for unveiling global innovation networks: patent citations as clues to cross border knowledge flows," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 61-83, October.
    20. Niemann, Helen & Moehrle, Martin G. & Frischkorn, Jonas, 2017. "Use of a new patent text-mining and visualization method for identifying patenting patterns over time: Concept, method and test application," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 210-220.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:167:y:2021:i:c:s0040162521001219. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.